Understanding Orthogonal Integral on Introduction to Quantum Mechanics

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Discussion Overview

The discussion revolves around the orthogonal integral presented in Griffiths' "Introduction to Quantum Mechanics," specifically the expression involving the Dirac delta function. Participants explore the implications of this integral within the context of distributions and Fourier transforms, examining the necessary theoretical background for understanding the result.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions the validity of the integral expression, noting a potential cancellation when substituting variables.
  • Another participant suggests that understanding the integral requires knowledge of distributions and integration theory, providing a non-rigorous argument based on Fourier transforms.
  • This participant explains that if a function has a Fourier transform, it can be expressed in terms of its inverse transform, leading to a suggestion that the integral could represent the delta function under certain conditions.
  • A later reply emphasizes the need for rigor by introducing the delta function as a generalized function and suggesting a limiting procedure involving test-function spaces.

Areas of Agreement / Disagreement

Participants express differing levels of understanding regarding the integral and its implications. There is no consensus on the interpretation or validity of the integral as presented, and the discussion remains unresolved.

Contextual Notes

The discussion highlights the dependence on advanced concepts in distribution theory and the conditions under which the integral can be justified. There are unresolved assumptions regarding the manipulation of integrals and the definitions of the functions involved.

nicksauce
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On page 102 of Introduction to Quantum Mechanics, Griffiths writes that
[tex]\int_{-\infty}^{\infty}e^{i\lambda x}e^{-i \mu x}dx = 2\pi\delta(\lambda-\mu)[/tex]

I don't see how this follows. If you replace lambda with mu, then you get a cancellation, and the integral of 1dx. Am I missing something?
 
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I think you would have to know a bunch of stuff about distributions and integration theory to understand that. I can't say that I do, so I can only give you a very non-rigorous argument based on some ugly manipulations with Fourier transforms:

We know that if f is a nice enough function, it has a Fourier transform g that can be defined by

[tex]g(p)=\frac{1}{\sqrt{2\pi}}\int f(y)e^{-ipy}dy[/tex]

The theorem that guarantees that also says that f can now be expressed as

[tex]f(x)=\frac{1}{\sqrt{2\pi}}\int g(p)e^{ipx}dp[/tex].

If we insert the first expression into the second and recklessly switch the order of the integrations, we get

[tex]f(x)=\int f(y)\bigg(\frac{1}{2\pi}\int e^{ip(x-y)}dp\bigg)dy[/tex]

So if there's some way to justify switching the order of the integrations (which would have to include a new definition of what we mean by an "integral"), the expression in parentheses must be [itex]\delta(x-y)[/itex].
 
Okay that (sort of) makes sense. Thanks!
 
TO be more rigorous you should introduce delta as generalized function and then use a limiting procedure on test-function space D!
 

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